Core services
Enterprise Data Extraction

Scalable web, app and AI-powered collection across 40+ countries.

All 58 services →
New 2026
AI Training Data

Corpus building with provenance and opt-out compliance.

Learn more →
Free pilot
24-hour sample

We run collection on your own sources before you commit.

Get a sample →
58Services
40+Countries
DEVELOPER

Ready-Made Scrapers

Pre-built for top platforms. Self-serve, no setup.

View All →
TRY FREE

API Playground

Test endpoints instantly. No credit card.

Start Free →
28Tools
2SDKs
icons Delivery & SDKs
Streaming Crawl API Scheduler Realtime Alerts Webhook Delivery 🐍 Python SDK 💚 Node.js SDK
Need it managed instead?

Fixed monthly retainer, named engineer, no per-request metering.

Managed Data API →
HOT

Case Studies

How brands use Actowiz, with named outcomes.

Read →
FREE

Sample Datasets

Real output, no signup.

Download →
NEW

ROI Calculator

Model the return on a data engagement.

Calculate →
Platform · Autotrader UK

Autotrader UK Data Scraping

"Great price" means the advert is below Autotrader's valuation for that car, that day. It is Autotrader's judgement, and not every car can get one.

Autotrader UK data scraping covers used and new vehicle listings from the UK's largest car marketplace. Its Price Indicator — Low, Great, Good, Fair or High — compares an advert with Autotrader's own valuation, which can change daily, and only eligible dealer cars receive one. So the label is recorded as Autotrader's claim, with eligibility, and a missing label is not read as fair. Private sellers' personal details are never collected, number plates are not collected from private listings, and a listing that disappears is not recorded as a sale.

A price label from the platform is one of the most useful fields on the page, and one of the easiest to misread.

Free pilot on your own Autotrader UK list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

autotrader_uk_sample.jsonl LIVE FEED
{"lister_type":"dealer","price":14995,"price_indicator":"Good price","label_source":"autotrader"} {"lister_type":"private","price_indicator":null,"label_eligible":false} {"label_changed":true,"price_changed":false,"band":"3-5y / 30-50k mi"}
illustrative sample rows · GBthe platform judgement, and who can get one · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Autotrader UK or its owners. Autotrader UK and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers
B2C Marketplace
amazon
D2C + Marketplace
NYKAA
D2C + Marketplace
Walmart
FMCG Marketplace
udaan
Food Delivery
Uber Eats
Quick Commerce
blinkit
Taxi Aggregator
Uber
E-Commerce
Tmall
Autotrader UK at a glance

How we handle Autotrader UK specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Marketplace
Autotrader UK — Auto Trader Group plc
Listers
Dealers and private sellers
Price Indicator
Low, Great, Good, Fair, High
Compared with
Autotrader's own valuation, updated daily
Eligible
Dealer cars only, within price and age limits
So
label_eligible recorded; no label is not fair
Dealer tools
Deal Builder launched Nov 2025, revised after dealer feedback
Comparison
Within mileage and age bands
Platform specifics

Autotrader's judgement, and who can get one

These are the reasons a Autotrader UK dataset needs its own handling rather than a shared retail schema.

The label and its limits

Autotrader's terms set out how the Price Indicator works: it compares the advertised price with the Autotrader Valuation, and applies only to dealer cars within price and age limits, excluding private sales, new, nearly new, classic and written-off vehicles.

  • price_indicator recorded as displayed, with label_source: autotrader.
  • gap_displayed recorded where the page shows the difference from the valuation.
  • label_eligible derived from the published rules, so an absent label on an ineligible car is not treated as a missing value.
  • The valuation itself is Autotrader's and moves daily; a label change without a price change is recorded as such.

Bands, listers and what we do not do

Compared properly

Listings are compared within mileage and age bands, dealer and private kept apart, as on our mobile.de page.

Dealer tools and leasing

Autotrader's Deal Builder, launched in November 2025, changes how some dealer adverts present deals; reservation and finance elements are recorded as terms. New-car leasing offers are covered on our leasing page.

What we do not do

Treat a missing label as fair, present a label as our valuation, collect private sellers' details or plates, or record a disappeared listing as a sale.

Scope

What we collect on Autotrader UK, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

  • price_indicator with label_source: autotrader
  • gap_displayed where shown
  • label_eligible derived from published rules
  • Label changes without price changes recorded
  • lister_type: dealer or private
  • Mileage, age and derived bands
  • Days on market from first observation
  • Dealer business identity where displayed
  • Finance and reservation elements as terms

❌ What we do not, and why

  • A missing label read as fair
  • Autotrader's label presented as our valuation
  • Private sellers' names, phones or plates
  • Disappeared listings recorded as sales
  • Achieved transaction prices, which are not published

Core Autotrader UK fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

FieldWhat it is on this platform
listing_id / make / model / derivativeAs published
year / mileage / bandAs published; band derived
price / currencyAs displayed
price_indicator / label_sourceAs displayed; autotrader
gap_displayedWhere shown
label_eligibleDerived from published rules
lister_type / dealer_nameDealer identity where shown
first_seen / last_seenLifecycle
price_revisionsDated
finance_termsAs displayed
disappeared_unconfirmedNo sale inferred
Use cases

What teams do with Autotrader UK data

Used car price positioning

Asking prices within bands, beside Autotrader's own labels.

Label dynamics

How often labels move with the valuation rather than the price.

Dealer stock intelligence

Competitors' stock, pricing and days on market.

UK market coverage

The largest UK marketplace on a daily schedule.

The 24-hour sample — run on your sources, not ours

Send us a Autotrader UK item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

  • Real extraction from your actual sources
  • Returned within 24 hours
  • Coverage and QA note included
  • You keep the data either way
  • No card, no trial clock
  • Named engineer on the call
Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.
How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

  • Dedicated engineer assigned to your account
  • Site changes fixed by us, not reported to you
  • Scheduled delivery to your warehouse or S3
  • Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

  • On-demand and scheduled endpoints
  • Rate limits agreed to your load profile
  • Sandbox keys for integration testing
  • Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

  • Fixed scope agreed in writing upfront
  • Single delivery with full QA report
  • Methodology documented for your records
  • Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Autotrader UK is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Autotrader UK data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what automotive data covers, and a Autotrader UK-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Autotrader UK data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

That the advert is below Autotrader's own valuation by its stated margin. It is Autotrader's judgement, recorded as such.

Only eligible dealer cars get one. A missing label is recorded with its eligibility, never read as fair.

Their listings, as private. Never their names, phones or number plates.

No. Sale prices are not published, and a disappeared listing is not a sale.

Within mileage and age bands, dealer and private kept apart.

It depends on makes, regions and frequency.

Talk to us.

See real Autotrader UK data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶
1 min
★★★★★
"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"
TG
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
▶
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
II
Iulen Ibanez
CEO / Datacy.es
▶
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

→
LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
→
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
→
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
→
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How to Scrape Lidl UK Product Data (2026 Guide)

Extract Lidl UK product and price data at scale. What Lidl Plus data is app-gated and off-limits, Middle of Lidl capture, discounter matching and compliance.

thumb
Case Study

How Multi-Channel Marketplace Inventory Scraping API Helps Brands Monitor Inventory Across Amazon, Flipkart, and Myntra

Multi-Channel Marketplace Inventory Scraping API helps brands monitor product stock, availability, and inventory changes across Amazon, Flipkart, and Myntra.

thumb
Report

Sephora & Trendyol Arabic Market Data Report 2026 for UAE E-Commerce Intelligence

Sephora & Trendyol Arabic Market Data Report 2026 delivers UAE e-commerce intelligence on products, pricing, trends, and customer demand.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.
Get in Touch
Let's Talk About
Your Data Needs
Tell us what data you need — we'll scope it for free and share a sample within hours.
  • icons
    Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
  • icons
    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
  • icons
    US-Based SupportOffices in New York & California. Aligned with your timezone.
  • icons
    ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.
Request Free Sample Data
Fill the form below — our team will reach out within 2 hours.
+1 ▼
✓ Free 500-row sample · No credit card · Response within 2 hours

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1 ▼
✓ Free 500-row sample · No credit card · Response within 2 hours